I received this error message: Found input variables with inconsistent numbers of samples: [15573, 15600]....
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Data source
I received that error and when running my code, I realised that the issue lies with my X_train and y_train.
The link below is the source of my data (test.csv and train.csv)
My X_train.shape gave me (15573,) and my y_train gave me (15600,)
How do I reshape this?
python
asked yesterday
RenaeRenae
134
New contributor
Renae is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
$begingroup$
Data source
I received that error and when running my code, I realised that the issue lies with my X_train and y_train.
The link below is the source of my data (test.csv and train.csv)
My X_train.shape gave me (15573,) and my y_train gave me (15600,)
How do I reshape this?
python
asked yesterday
RenaeRenae
134
New contributor
Renae is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
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You cat reshap them, you have to figure why it's happening because y_train and X_train will have same shape by default
$endgroup$
– Aditya
yesterday
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@Aditya Strangely, my X_test and y_test tally...Is there a particular reason why it isn't the same for y_train and X_train?
$endgroup$
– Renae
yesterday
$begingroup$
See if you are dropping some rows or not or else if they are one-to-one matching, then just reduce the X_train;
$endgroup$
– Aditya
yesterday
$begingroup$
@Aditya Got it, will give that a shot! To reduce the X_train, I inputted this code: y_train_new=y_train[1:17644] but it showed me an error. The aim is to make it the same as that of y_train
$endgroup$
– Renae
yesterday
$begingroup$
17644 isn't the y_train dims, it's 15600 but be careful, you shouldn't be using such tricks as in a normal scenario, this shouldn't happen actually. If you can share your preprocessing, folks can then help finding what's causing it unless it's by default like that
$endgroup$
– Aditya
yesterday
add a comment |
$begingroup$
Data source
I received that error and when running my code, I realised that the issue lies with my X_train and y_train.
The link below is the source of my data (test.csv and train.csv)
My X_train.shape gave me (15573,) and my y_train gave me (15600,)
How do I reshape this?
python
asked yesterday
RenaeRenae
134
New contributor
Renae is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
Data source
I received that error and when running my code, I realised that the issue lies with my X_train and y_train.
The link below is the source of my data (test.csv and train.csv)
My X_train.shape gave me (15573,) and my y_train gave me (15600,)
How do I reshape this?
python
python
asked yesterday
RenaeRenae
134
New contributor
Renae is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
RenaeRenae
134
New contributor
Renae is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited yesterday
Renae
asked yesterday
RenaeRenae
134
New contributor
Renae is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
RenaeRenae
134
asked yesterday
RenaeRenae
134
134
New contributor
Renae is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Renae is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Renae is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
You cat reshap them, you have to figure why it's happening because y_train and X_train will have same shape by default
$endgroup$
– Aditya
yesterday
$begingroup$
@Aditya Strangely, my X_test and y_test tally...Is there a particular reason why it isn't the same for y_train and X_train?
$endgroup$
– Renae
yesterday
$begingroup$
See if you are dropping some rows or not or else if they are one-to-one matching, then just reduce the X_train;
$endgroup$
– Aditya
yesterday
$begingroup$
@Aditya Got it, will give that a shot! To reduce the X_train, I inputted this code: y_train_new=y_train[1:17644] but it showed me an error. The aim is to make it the same as that of y_train
$endgroup$
– Renae
yesterday
$begingroup$
17644 isn't the y_train dims, it's 15600 but be careful, you shouldn't be using such tricks as in a normal scenario, this shouldn't happen actually. If you can share your preprocessing, folks can then help finding what's causing it unless it's by default like that
$endgroup$
– Aditya
yesterday
add a comment |
$begingroup$
You cat reshap them, you have to figure why it's happening because y_train and X_train will have same shape by default
$endgroup$
– Aditya
yesterday
$begingroup$
@Aditya Strangely, my X_test and y_test tally...Is there a particular reason why it isn't the same for y_train and X_train?
$endgroup$
– Renae
yesterday
$begingroup$
See if you are dropping some rows or not or else if they are one-to-one matching, then just reduce the X_train;
$endgroup$
– Aditya
yesterday
$begingroup$
@Aditya Got it, will give that a shot! To reduce the X_train, I inputted this code: y_train_new=y_train[1:17644] but it showed me an error. The aim is to make it the same as that of y_train
$endgroup$
– Renae
yesterday
$begingroup$
17644 isn't the y_train dims, it's 15600 but be careful, you shouldn't be using such tricks as in a normal scenario, this shouldn't happen actually. If you can share your preprocessing, folks can then help finding what's causing it unless it's by default like that
$endgroup$
– Aditya
yesterday
$begingroup$
You cat reshap them, you have to figure why it's happening because y_train and X_train will have same shape by default
$endgroup$
– Aditya
yesterday
$begingroup$
You cat reshap them, you have to figure why it's happening because y_train and X_train will have same shape by default
$endgroup$
– Aditya
yesterday
$begingroup$
@Aditya Strangely, my X_test and y_test tally...Is there a particular reason why it isn't the same for y_train and X_train?
$endgroup$
– Renae
yesterday
$begingroup$
@Aditya Strangely, my X_test and y_test tally...Is there a particular reason why it isn't the same for y_train and X_train?
$endgroup$
– Renae
yesterday
$begingroup$
See if you are dropping some rows or not or else if they are one-to-one matching, then just reduce the X_train;
$endgroup$
– Aditya
yesterday
$begingroup$
See if you are dropping some rows or not or else if they are one-to-one matching, then just reduce the X_train;
$endgroup$
– Aditya
yesterday
$begingroup$
@Aditya Got it, will give that a shot! To reduce the X_train, I inputted this code: y_train_new=y_train[1:17644] but it showed me an error. The aim is to make it the same as that of y_train
$endgroup$
– Renae
yesterday
$begingroup$
@Aditya Got it, will give that a shot! To reduce the X_train, I inputted this code: y_train_new=y_train[1:17644] but it showed me an error. The aim is to make it the same as that of y_train
$endgroup$
– Renae
yesterday
$begingroup$
17644 isn't the y_train dims, it's 15600 but be careful, you shouldn't be using such tricks as in a normal scenario, this shouldn't happen actually. If you can share your preprocessing, folks can then help finding what's causing it unless it's by default like that
$endgroup$
– Aditya
yesterday
$begingroup$
17644 isn't the y_train dims, it's 15600 but be careful, you shouldn't be using such tricks as in a normal scenario, this shouldn't happen actually. If you can share your preprocessing, folks can then help finding what's causing it unless it's by default like that
$endgroup$
– Aditya
yesterday
add a comment |
1 Answer
1
active
oldest
votes
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You likely get problems because you remove rows containing nulls in X_train and y_train independent of each other. y_train probably has few, or no nulls and X_train probably has some. So when you remove a row in X_train and the same row is not removed in y_train it will cause your data to be unsynced and have different lenghts. Instead you should remove nulls before you separate X and y.
Before this:
X = df['text']
y = df['label']
Do this:
df.dropna(inplace=True)
And remove this:
X_train.dropna(inplace=True)
X_test.dropna(inplace=True)
y_train.dropna(inplace=True)
y_test.dropna(inplace=True)
answered yesterday
Simon LarssonSimon Larsson
724114
$endgroup$
$begingroup$
That worked! Thank you :)
$endgroup$
– Renae
13 hours ago
add a comment |
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1 Answer
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1 Answer
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active
oldest
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oldest
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active
oldest
votes
$begingroup$
You likely get problems because you remove rows containing nulls in X_train and y_train independent of each other. y_train probably has few, or no nulls and X_train probably has some. So when you remove a row in X_train and the same row is not removed in y_train it will cause your data to be unsynced and have different lenghts. Instead you should remove nulls before you separate X and y.
Before this:
X = df['text']
y = df['label']
Do this:
df.dropna(inplace=True)
And remove this:
X_train.dropna(inplace=True)
X_test.dropna(inplace=True)
y_train.dropna(inplace=True)
y_test.dropna(inplace=True)
answered yesterday
Simon LarssonSimon Larsson
724114
$endgroup$
$begingroup$
That worked! Thank you :)
$endgroup$
– Renae
13 hours ago
add a comment |
$begingroup$
You likely get problems because you remove rows containing nulls in X_train and y_train independent of each other. y_train probably has few, or no nulls and X_train probably has some. So when you remove a row in X_train and the same row is not removed in y_train it will cause your data to be unsynced and have different lenghts. Instead you should remove nulls before you separate X and y.
Before this:
X = df['text']
y = df['label']
Do this:
df.dropna(inplace=True)
And remove this:
X_train.dropna(inplace=True)
X_test.dropna(inplace=True)
y_train.dropna(inplace=True)
y_test.dropna(inplace=True)
answered yesterday
Simon LarssonSimon Larsson
724114
$endgroup$
$begingroup$
That worked! Thank you :)
$endgroup$
– Renae
13 hours ago
add a comment |
$begingroup$
You likely get problems because you remove rows containing nulls in X_train and y_train independent of each other. y_train probably has few, or no nulls and X_train probably has some. So when you remove a row in X_train and the same row is not removed in y_train it will cause your data to be unsynced and have different lenghts. Instead you should remove nulls before you separate X and y.
Before this:
X = df['text']
y = df['label']
Do this:
df.dropna(inplace=True)
And remove this:
X_train.dropna(inplace=True)
X_test.dropna(inplace=True)
y_train.dropna(inplace=True)
y_test.dropna(inplace=True)
answered yesterday
Simon LarssonSimon Larsson
724114
$endgroup$
You likely get problems because you remove rows containing nulls in X_train and y_train independent of each other. y_train probably has few, or no nulls and X_train probably has some. So when you remove a row in X_train and the same row is not removed in y_train it will cause your data to be unsynced and have different lenghts. Instead you should remove nulls before you separate X and y.
Before this:
X = df['text']
y = df['label']
Do this:
df.dropna(inplace=True)
And remove this:
X_train.dropna(inplace=True)
X_test.dropna(inplace=True)
y_train.dropna(inplace=True)
y_test.dropna(inplace=True)
answered yesterday
Simon LarssonSimon Larsson
724114
edited yesterday
answered yesterday
Simon LarssonSimon Larsson
724114
answered yesterday
Simon LarssonSimon Larsson
724114
answered yesterday
Simon LarssonSimon Larsson
724114
724114
$begingroup$
That worked! Thank you :)
$endgroup$
– Renae
13 hours ago
add a comment |
$begingroup$
That worked! Thank you :)
$endgroup$
– Renae
13 hours ago
$begingroup$
That worked! Thank you :)
$endgroup$
– Renae
13 hours ago
$begingroup$
That worked! Thank you :)
$endgroup$
– Renae
13 hours ago
add a comment |
Renae is a new contributor. Be nice, and check out our Code of Conduct.
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$begingroup$
You cat reshap them, you have to figure why it's happening because y_train and X_train will have same shape by default
$endgroup$
– Aditya
yesterday
$begingroup$
@Aditya Strangely, my X_test and y_test tally...Is there a particular reason why it isn't the same for y_train and X_train?
$endgroup$
– Renae
yesterday
$begingroup$
See if you are dropping some rows or not or else if they are one-to-one matching, then just reduce the X_train;
$endgroup$
– Aditya
yesterday
$begingroup$
@Aditya Got it, will give that a shot! To reduce the X_train, I inputted this code: y_train_new=y_train[1:17644] but it showed me an error. The aim is to make it the same as that of y_train
$endgroup$
– Renae
yesterday
$begingroup$
17644 isn't the y_train dims, it's 15600 but be careful, you shouldn't be using such tricks as in a normal scenario, this shouldn't happen actually. If you can share your preprocessing, folks can then help finding what's causing it unless it's by default like that
$endgroup$
– Aditya
yesterday